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Hybrid Format for June 27-30 2022

In person (June 27 -28)   training on teaching Data 8 and  Berkeley Data Science classes

  • Bootcamp on teaching a Data 8 style fundamentals class
  • Overview of Major and other UC Berkeley Classes
  • Labs for Data 8,  and Data Science Modules 

Hybrid (In person and online) (June 29 - 30) Panels on Data Science Education

Community Building amongst Data Science Educators

  • International Efforts
  • Student Driven Data Science Communities
  • Human Contexts and Ethics
  • California Alliance for Data Science Education
  • Data Science Program Development
  • Data Science and Scientific Reasoning
  • Technology Partnerships
  • Inclusion and Data Science

This workshop  is organized by UC Berkeley's Division of Computing, Data Science, and Society with support from Microsoft and the West Big Data Innovation Hub

Resources 

Please take a look at our external-facing resources portal website with key links for instructors.

We also have a one-page handout summary guide to open-source resources.  This short document will explain the curriculum and set of technologies developed at Berkeley.  

Questions

Please feel free to contact us at ds-help@berkeley.edu with any questions or concerns on implementing a Data Science program at your institution. We would also like to invite you to join our slack channel at datascienceeducation.slack.com 

Code of Conduct

We value the participation of each member of the community and want all attendees to have an enjoyable and fulfilling experience. Accordingly, all attendees are expected to show respect and courtesy to other attendees throughout the workshop and at all workshop events.  Code of Conduct

Schedule (Schedule in Formation - all times are PDT) 

Monday, June 27:  Fundamentals Course / Data 8 

Timing Topic Presenter
9-9:45am Data 8  - Overview John DeNero
9:45-10:30am Data 8  Lesson 1 [Tables] John DeNero
10:45-11:30am Data 8 Lab Carlos Ortiz / Ciara Acosta
11:30-12:00pm Data 8 adopters  
1:00-1:30pm Data Scholars Carlos Ortiz
1:30-2:30pm Infrastructure /Tech Overview Various
2:30-3:00pm Data 8 Lesson 2 [Regression] Kevin Miao
3:15 - 4:00pm Data 8 Lab 2 Kevin Miao

Tuesday, June 28: Other Curricular Offerings  

Timing Topic Presenter
9-9:45am Data Science Program Overview John DeNero
9:45-10:30am Division of Computing Data Science and Society Overview Jennifer Chayes
10:45-11:30am Human Contexts and Ethics / Data 104 / Data 4AC Cathryn Carson, Ari Edmondson
11:30-12:15pm Data 100 Lisa Yan
1:00-2:00pm Infrastructure / Tech Overview Carlos Ortiz
2:00-3:00pm

Data 102 / Data Scince Modules

Sridharan/Steinhardt
Van Dusen / Saravia
3:00-4:00pm Data 6 Panel Yan / Nolan / Rampure / Carter
4:00 - 5:00pm Tuskegee Panel Hargrove / Carter / Mandoye / Rawajfih

Wednesday, June 29: Hybrid Online Panels 

 

Timing Topic
9-10:30am International Adopters- Data 8 and Data Science
 11 - 12:30pm Building National Capacity for Student-Driven Data Science Communities  (NSF Big Data Hub Panel )
1:30 - 3pm Human Contexts and Ethics / Data 104 / Data 4AC
3:30 - 5pm California Alliance for Data Science Education

Thursday, June 30: Hybrid Online Panels

Timing Topic
9-10:30am Data Science Program Development ( NSF Big Data Hub Panel 2 )
 11 - 12:30pm Teaching Data Science with Scientific Reasoning
1:30 - 3pm Technology Partnerships
3:30 - 5pm NSF IUSE - Inclusion and Data Science

Staff Organizers

Eric Van Dusen 

Anthony Suen 

Student Team

Justin Cheung

Kseniya Usovich

Dayawanti Punj

Anara Myrzabekova